Senior DevOps Engineer
$30 - $130/hourpay
Required Skills
Kubernetes
AWS
GCP
Python
About micro1
micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.
Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI.
Job Description
Job Title: Senior DevOps Engineer
Job Type: Contractor
Location: Remote
Job Summary: As a Senior DevOps Engineer, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Key Responsibilities:
- Design, implement, and maintain scalable infrastructure solutions using Kubernetes across AWS and GCP environments.
- Develop, manage, and optimize CI/CD pipelines to ensure seamless integration and continuous delivery for diverse applications.
- Automate infrastructure management, monitoring, and deployments with Python and DevOps best practices.
- Collaborate closely with cross-functional teams to support robust cloud-native architectures and application reliability.
- Monitor system performance, troubleshoot issues, and implement proactive solutions for optimization and security.
- Document processes, architectures, and solutions clearly for technical and non-technical audiences.
- Champion a culture of transparent communication and knowledge sharing within the customer's team.
Required Skills and Qualifications:
- Expertise in Kubernetes orchestration and management of containerized applications.
- Hands-on experience with both AWS and GCP cloud platforms.
- Proven ability to develop automation scripts and tools using Python.
- Deep understanding of infrastructure-as-code, CI/CD pipelines, and DevOps principles.
- Excellent written and verbal communication skills and a collaborative mindset.
- Experience with monitoring, logging, and proactive system management.
- Strong problem-solving abilities in complex, distributed cloud environments.
Preferred Qualifications:
- Certifications related to Kubernetes, AWS, or GCP.
- Prior work in AI/ML infrastructure or data-intensive environments.
- Familiarity with additional programming languages or automation frameworks.